The objective of this study is to assess the contribution of shared communication and decision-making processes in patient-centered healthcare teams to the generation of innovative conce
Trang 1S T U D Y P R O T O C O L Open Access
Shared communication processes within
healthcare teams for rare diseases and their
behavior and patient satisfaction
Henrike Hannemann-Weber1*, Maura Kessel1, Karolina Budych2and Carsten Schultz1
Abstract
Background: A rare disease is a pattern of symptoms that afflicts less than five in 10,000 patients However, as about 6,000 different rare disease patterns exist, they still have significant epidemiological relevance We focus on rare diseases that affect multiple organs and thus demand that multidisciplinary healthcare professionals (HCPs) work together In this context, standardized healthcare processes and concepts are mainly lacking, and a deficit of knowledge induces uncertainty and ambiguity As such, individualized solutions for each patient are needed This necessitates an intensive level of innovative individual behavior and thus, adequate idea generation The final implementation of new healthcare concepts requires the integration of the expertise of all healthcare team
members, including that of the patients Therefore, knowledge sharing between HCPs and shared decision making between HCPs and patients are important The objective of this study is to assess the contribution of shared communication and decision-making processes in patient-centered healthcare teams to the generation of
innovative concepts and consequently to improvements in patient satisfaction
Methods: A theoretical framework covering interaction processes and explorative outcomes, and using patient satisfaction as a measure for operational performance, was developed based on healthcare management,
innovation, and social science literature This theoretical framework forms the basis for a three-phase,
mixed-method study Exploratory phase I will first involve collecting qualitative data to detect central interaction barriers within healthcare teams The results are related back to theory, and testable hypotheses will be derived Phase II then comprises the testing of hypotheses through a quantitative survey of patients and their HCPs in six different rare disease patterns For each of the six diseases, the sample should comprise an average of 30 patients with six HCP per patient-centered healthcare team Finally, in phase III, qualitative data will be generated via
semi-structured telephone interviews with patients to gain a deeper understanding of the communication processes and initiatives that generate innovative solutions
Discussion: The findings of this proposed study will help to elucidate the necessity of individualized innovative solutions for patients with rare diseases Therefore, this study will pinpoint the primary interaction and
communication processes in multidisciplinary teams, as well as the required interplay between exploratory
outcomes and operational performance Hence, this study will provide healthcare institutions and HCPs with results and information essential for elaborating and implementing individual care solutions through the establishment of appropriate interaction and communication structures and processes within patient-centered healthcare teams
* Correspondence: henrike.hannemann-weber@tu-berlin.de
1
Institute for Technology and Innovation Management, Technische
Universität Berlin, Strasse des 17 Juni 135, 10623 Berlin, Germany
Full list of author information is available at the end of the article
© 2011 Hannemann-Weber et al; licensee BioMed Central Ltd This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and
Trang 2Rare diseases are defined as specific disease patterns with a
prevalence of less than five in 10,000 [1] patients This
infrequent prevalence causes a serious deficit of expert
knowledge that often induces uncertainty, ambiguity, and
unpredictability in routine care However, patients with
rare diseases frequently have a strong need for complex
and multidisciplinary treatment Expertise and knowledge
are required, but they are often located in dispersed
cen-ters of expertise, and are thus disconnected from the local
healthcare environment of patients Standardized
health-care guidelines are lacking due to the great variance of
symptoms and treatment processes within each disease
pattern Therefore, multidisciplinary healthcare teams,
diverse in education and function, are tasked with creating
new, individual, patient-centered solutions to improving
patients’ long-term healthcare situation We define this
necessary innovative behavior of healthcare providers
(HCPs) as the intensity of proactive behavior and
improvi-sation to find adequate individualized solutions for each
patient and to implement new processes, products, or
pro-cedures to enhance medical outcomes In addition to the
emerging incremental adaptations of current healthcare
processes, initiatives and new solutions for medical
pro-ducts and procedures arise that have to be transferred to
other HCPs To cope with the complexity of rare diseases,
idea generation and implementation both require the
inte-gration all team members’ expertise, including that of the
patient As such, communication processes between the
involved actors play an essential role Our study focuses
on two different communication processes, knowledge
sharing between HCPs and shared decision making
between HCPs and patients Based on two different
litera-ture streams, innovation management and health service
research, we suggest that both communication processes
will foster HCPs’ innovative behavior, which in turn
influ-ences patient satisfaction positively (see Figure 1) These
communication processes are influenced by specific
characteristics of rare diseases In particular, HCPs and patients have to deal with the high functional diversity of the team [2-4] and high environmental uncertainty that affect routine and explorative processes [5,6] In this study,
we develop a theoretical framework and derive hypotheses,
as indicated in the study framework above We also describe the study plan and discuss central contributions
of this study
In this study, we develop a theoretical framework and derive hypotheses, as indicated in the study framework above We also describe the study plan and discuss cen-tral contributions of this study
Knowledge sharing and its influence on innovative behavior and patient satisfaction
We define innovative behavior as the introduction and implementation of new ideas, processes, products, or procedures designed to significantly benefit the patient Several authors see knowledge as a critical resource of organizations, networks, or teams that provides a sus-tainable advantage for innovative performance outcomes [7-9] This assertion is applicable to knowledge-intense working contexts where information is broadly lacking -the treatment of patients with rare diseases Knowledge, defined as ‘a fluid mix of framed experience, values, contextual information, and expert insights [ ]’ [8], represents the basis for evaluating and incorporating new experiences and information to create new health-care concepts and treatments fitting patients’ needs [8] Different HCPs carry different expertise Therefore, diverse teams possess a broader range of explicit knowl-edge and a larger pool of abilities and skills, and thereby may lead to improved patient outcomes [2,10] The vari-ety of knowledge carriers underlies the importance of knowledge-sharing processes between members of healthcare teams If knowledge is not shared, cognitive resources available within a team remain idle [11] Strong relationships and interactive knowledge sharing enable the team to create new solutions [12,13] by com-bining new with existing knowledge to come up with novel ideas and concepts [14] In our study, knowledge sharing is considered to be an interactive communica-tion process between at least two HCPs It is character-ized by various communication attributes, such as the frequency and reciprocity of knowledge exchange, the multiplicity of knowledge content [15], and the quality and strength of the HCPs’ relationships [16] Referring
to healthcare teams dealing with patients with rare dis-eases, we assume that internal knowledge-sharing pro-cesses start immediately after a multidisciplinary healthcare team is assembled This builds a foundation for essential innovative healthcare activities The meta-analytic overview from van Wijk [17] supports this idea
by showing a significant overall correlation between
between HCP:
Knowledge sharing
between HCP and
patient:
Shared decision
making
Innovative behavior
Patient satisfaction
Context: Team diversity and uncertainty
Figure 1 Study framework.
Trang 3knowledge sharing and innovative performance, and this
correlation underlines our assumption that within
healthcare teams, interactive knowledge-sharing
pro-cesses positively influence HCPs’ innovative behavior
In addition to the need for knowledge sharing for
explorative outcomes, operational performance also
depends on the intensity of knowledge sharing between
HCPs, particularly specific knowledge related to more
routine activities [17] Knowledge sharing can also be
seen as an essential aspect of meeting patients’ needs in
the operational treatment of daily healthcare processes
As such, we suggest that intensive information exchange
concerning the care of patients with rare diseases
signifi-cantly affects patient satisfaction by better fitting their
permanent needs
Shared decision making and its influence on innovative
behavior and patient satisfaction
Although the concept of knowledge sharing focuses
mainly on HCPs, the interaction with the patient, and in
particular the process of shared decision making (SDM),
must also be addressed SDM can be defined as an
inter-active process in which at least two participants -
physi-cian and patient - share information and equally reach an
agreement on the treatment to implement [18,19]
Despite the considerable challenges associated with
deci-sion making for rare diseases, investigations into the
shared decision-making process, its implications, and its
impact on innovative behavior in the setting of rare
dis-eases have been lacking Moreover, outside of the
health-care context, researchers have typically studied
participation effects in the organizational context,
focus-ing for example on the leadership style and its impact on
employees’ innovativeness [20] The influence of the
patient’s participation in decision making on the service
provider’s innovative behavior has received minimal
attention in the literature to date Preliminary indications
have arisen from the literature review and Delphi study
by Fleuren [21] They identified patient cooperation as a
relevant determinant of innovative behavior within
healthcare organizations Especially in the context of rare
diseases characterized by uncertainty due to insufficient
knowledge, mutual willingness to influence and to be
influenced is essential for the development of creative
ideas and their transformation into workable methods,
products, and services We argue that as the patient
becomes more involved in the decision-making process,
the solutions developed by HCPs may be re-examined
and re-evaluated [22] Hence, it enables HCPs to critically
process their own creative ideas and to pursue those that
will best meet the patients’ expectations and
require-ments We therefore state that there is solid justification
for exploring participation and particularly shared
deci-sion making as an important determinant of innovative
behavior of HCPs Additionally, through fostering a com-mon understanding of the disease between patient and HCPs, patient involvement in treatment decisions may help the HCPs to better meet the patient’s needs by pro-viding customized healthcare [23] The gap between the patient’s expectations and their perception of perfor-mance will diminish [24] Thus, shared decision making also has a positive effect on patient satisfaction
Innovative behavior and its influence on patient satisfaction
New medical products and processes require innovative behavior from HCPs This is of particular importance for patients with rare diseases, because innovative con-cepts must compensate for limited knowledge and miss-ing routines As a result, the healthcare team improves its ability to serve and help patients [25]; the patient will receive appropriate and highly suitable help, and will be more satisfied As such, we suggest that innovative behavior positively relates to overall healthcare perfor-mance and more specifically to patient satisfaction
In conclusion, based on the above-mentioned assump-tions, this study aims to test the following hypotheses concerning the impact on patient satisfaction of knowl-edge sharing and shared decision making mediated by innovative behavior of individual HCPs operating under uncertain conditions in multidisciplinary teams:
Hypothesis 1: Knowledge sharing between HCPs in patient-centered teams positively influences innovative behavior
Hypothesis 2: Knowledge sharing between HCPs in patient-centered teams has a direct positive influence on patient satisfaction
Hypothesis 3: Patient involvement in shared decision making positively influences HCPs’ innovative behavior Hypothesis 4: Patient involvement in shared decision making has a direct positive influence on patient satisfaction
Hypothesis 5: HCPs’ innovative behavior positively influences patient satisfaction
Methods
Design
The overall design is an empirical study in which a ser-ies of attributes of individuals and teams are measured
to test the developed hypotheses A three-phase, mixed-method and multi-level study will be conducted Phase I
is an exploratory study, phase II is the quantitative part
of the main study, and phase III is the qualitative part
of the main study
Participants and sample size
Through expert interviews with various physicians spe-cializing in the care of rare diseases and with
Trang 4representatives of self-help organizations, we assessed a
wide range of disease patterns and finally focused the
study on six different rare diseases They were selected
by pre-defined criteria: a requirement for
multidisciplin-ary team work, regionally dispersed expertise, limited
experience, a degree of uncertainty due to an absence of
knowledge and routines, and extraordinary individual
healthcare demands We tried to choose diseases that
mainly differ in care intensity, level of suffering, patients’
age of disease outbreak (adults versus children), affected
organs, and prevalence Thus, in an iterative process, we
finally chose the following diseases to test our
theoreti-cal framework: Amyotrophic lateral sclerosis, Marfan’s
syndrome, Wilson’s disease, Epidermolysis bullosa,
Duchenne muscular dystrophy, and Neurodegeneration
with brain iron accumulation
Patients will be recruited via brochures placed in
cen-ters of expertise and specialized hospitals for rare
dis-eases as well as in non-profit self-help organizations For
each of the six diseases, the sample should comprise 30
patients Only patients and their HCPs whose
perma-nent residence is in Germany will be recruited To shed
light on shared communication processes among
health-care teams, we will address several HCPs of each
patient-centered healthcare team Patients who have
declared their participation will then be asked to return
a list indicating all members of their healthcare team
On average, we expect six HCPs per patient-centered
healthcare team, e.g., general practitioners, nurses, heath
care aides, physicians in hospitals or ambulatory
set-tings, and various therapists and social workers involved
in operational healthcare processes Out of our chosen
diseases, neurodegeneration with brain iron
accumula-tion has the smallest prevalence, with about 50 patients
in Germany To ensure comparability we will send out
50 patients’ questionnaires for all the selected diseases
and expect a response rate of 60% We anticipate that a
high number of patients will participate in our study
because they typically display a high level of personal
concern Moreover, our exploratory pre-study in phase I
indicated that both patients and HCPs were enthusiastic
to participate Therefore, we also expect a relatively high
response rate of 40% for the six HCPs per team In
total, we expect to build on data from 180 patients and
432 HCPs
Data collection
Phase I: exploratory pre-study
In an initial pre-study, we collected data via exploratory
interviews to detect central barriers teams have to cope
with in their daily work with patients suffering from
rare diseases We collected data from four
patient-cen-tered healthcare teams, including four patients and
rela-tives together with 16 HCPs such as nurses, healthcare
givers, doctors, therapists, health insurance agents, and service employees of medical device producers In addi-tion to resource restricaddi-tions, we mainly detected limita-tions in communication processes between HCPs and patients as well as between members of healthcare teams Therefore, our findings highlighted a significant need for specific intra-team processes such as extensive knowledge sharing and shared decision making within healthcare teams including patients Additionally, the interviews confirmed the relevance of individualized solutions to improving long-term healthcare and conse-quently to increasing patient satisfaction
Phase II: quantitative main study
The main study is a deductive analysis aiming to test our hypotheses mentioned above - that knowledge shar-ing and shared decision makshar-ing positively influence HCPs’ innovative behavior, which consequently leads to better patient satisfaction Questionnaires will be sent out to our above-described sample evaluating demo-graphic data, frequency, reciprocity and multiplexity of knowledge sharing, the role of shared decision making between patients and HCPs, individual innovative beha-vior, and patient satisfaction Together with the ques-tionnaire, each patient will be asked to return a list indicating their healthcare team members In a second step, we will send a questionnaire to each of the stated healthcare team members evaluating demographic data, functional diversity, environmental uncertainty, fre-quency, reciprocity and multiplexity of knowledge shar-ing, and individual innovative behavior
Phase III: qualitative main study
After receiving the questionnaires, we will conduct semi-structured telephone interviews with the patients The interviews will last approximately 20 minutes and will be designed in accordance with recommendations for qualitative research [26-28] The objective of these interviews is to gain a deeper understanding of the pro-cesses of knowledge sharing and shared decision making among healthcare team members and their initiatives to find innovative solutions By combining our qualitative and quantitative results, we aim to formulate concrete proposals on how to optimize communication and inno-vation processes for rare diseases
Measurement and analysis
All questionnaire items will be rated on a seven-point Likert scale ranging from 1 ‘strongly disagree’ to 7
‘strongly agree.’ In line with our study framework, we will examine the following four concepts: knowledge sharing, shared decision making, HCPs’ innovative beha-vior, and patient satisfaction To examine knowledge sharing within healthcare teams, every participant will
be asked to indicate how often (daily, weekly, monthly,
or less than once a month) he/she interacts with each
Trang 5team member to exchange procedural knowledge (e.g.,
information about healthcare procedures and processes)
and declarative knowledge (e.g information about
diag-nosis, symptoms, or therapies) This means of measuring
knowledge sharing was adapted from Bakker et al [15]
and will result in a matrix that captures the intensity of
knowledge sharing regarding procedural and declarative
information between members of each team We will
use the nine-item Shared Decision-Making
Question-naire (SDM-Q-9) from Kriston et al [19] to assess the
use of shared decision making within healthcare teams
SDM is defined here as an interactive process in which
patients and their HCPs share information equally in
reaching an agreement on treatment Hence, the
ques-tionnaire consists of nine items each describing one step
of the SDM process A sample item is ‘My doctor
helped me understand all the information.’ Innovative
behavior will be measured with a scale combined from
two previously developed scales: the creativity scale of
Zhou and George [29] (three items, e.g.,‘I am/He/She is
a good source of creative ideas’) and the innovation
scale developed by Scott and Bruce [20] (two items, e.g.,
‘I/He/She promote(s) and champion(s) ideas to others.’)
We chose this combination of items because they
repre-sent the major stages in the individual innovative
beha-vior process (problem identification, information
searching and encoding, idea generation, and
implemen-tation) and because they are the most appropriate for
the given context of healthcare teams working on
uncer-tain tasks such as rare diseases The innovative behavior
of each HCP will be measured using a two-informant
design via self-evaluation and external evaluation
through patients To explore patient satisfaction, we will
use a patient satisfaction scale based on the Munich
Patient Satisfaction Scale (MPSS-24), which in its
origi-nal form consists of 24 items mainly addressing
socio-emotional and communicative aspects of the
patient-HCP relationship [30] For this study, we omitted six
items, e.g., ‘The doctors are being interested in my
pro-blems;’ additionally, we included an item to measure
overall satisfaction We chose the MPSS-24 because it
focuses on the HCPs’ competence The scale will be
adopted for each subgroup (doctors, physicians,
health-care givers, therapists) In addition, patients also rated
their overall level of satisfaction with healthcare on a
10-point scale ranging from 1 (least satisfied) to 10
(most satisfied) In addition, we will control for several
aspects to limit the influence of unobserved variance
We will control for functional diversity among
health-care teams by drawing on past research [2,31] that
oper-ationalizes this concept by addressing the tenure,
educational background, and functional background of
the team In line with recommendations on how to
measure diversity [32], we will measure the mentioned
variables using Blau’s index of heterogeneity, 1- ∑pi2
[33] In this formula, p represents the proportion of a team in the respective diversity category, and i is the number of different categories represented within a team Thus, an index of 0 indicates no diversity, while a higher index score indicates that more diversity exists in the measured variable among team members Addition-ally, we integrate the context of uncertainty as a second control variable, which will be measured by a three-item scale originally used by Gladys et al., e.g.,‘The intensity
of the patients’ healthcare is unpredictable’ [34] The statistical analysis will explore the relationships between the two predictor variables (knowledge sharing and shared decision making) and both the dependent vari-able of patient satisfaction and the mediating effect of HCPs’ innovative behavior by controlling for functional diversity within each team and environmental uncer-tainty The theoretical model will be tested using multi-ple regression analysis and structural equation modeling
In addition to phase II, we will evaluate the qualitative data within phase III using MAXQDA in line with recommendations for qualitative research and grounded theory [26-28]
Ethical considerations
Ethics approval for the project was received from the Research Ethics Board of Technische Universität Berlin, Institut für Psychologie und Arbeitswissenschaft (approved 08 December 2010; ethics number: SC_01_20101116)
Discussion
Patients with rare diseases regularly encounter serious deficits in HCPs’ expertise and in treatment guidelines, and this causes a high level of uncertainty and ambiguity
in routine healthcare processes In this study, we argue that the assembly of multidisciplinary healthcare teams consisting of both routine and specialized HCPs is required to generate individually tailored healthcare concepts Team diversity, i.e., the amount of multidisci-plinarity and the level of qualification within a health-care team, is considered to be a key contextual element Moreover, uncertainty and unpredictability create an inability to predict accurately what the outcomes of decisions might be [5,6] This leads to an unstable and uncontrolled situation for the patient [35,36] In line with these specific conditions, the proposed theory-based approach will shed light on interaction processes from an integrated perspective After identifying the main theoretical communication processes within healthcare teams, they will be empirically tested Our study will investigate patients’ needs via qualitative data and their satisfaction with the healthcare situation via quantitative data Moreover, HCPs’ innovative behavior
Trang 6will be investigated with special attention to their
com-munication activities within teams and with the patient
This allows us to consider healthcare teams as a whole,
integrating the patients in particular Thus, healthcare
teams include the whole multidisciplinary set of HCPs
including relatives and patients Referring to our study
framework, healthcare teams with norms for shared
decision making and intensive knowledge sharing that
facilitate open communication among team members
may encourage individuals to innovate, which in turn
increases individual patient satisfaction Hence, this
study will provide unique information on the most
important factors for improving the long-term care of
patients with rare diseases through the development of
individual innovative care concepts We anticipate that
our results will significantly contribute to research by
analyzing the role of knowledge sharing and shared
decision making within patient-centered healthcare
teams, and their impact on HCPs’ innovative attempts
to better meet patient’s needs and thereby improve
patient satisfaction Supported by the qualitative results,
we aim to provide practical solutions: implementing and
subsequently institutionalizing central shared
communi-cations processes within healthcare teams including the
patient may be key in promoting patient-centered,
indi-vidualized innovative concepts for patients with rare
dis-eases Our results will provide healthcare institutions
and HCPs with essential information for elaborating and
implementing individual care solutions through the
establishment of appropriate interaction and
communi-cation structures and processes With respect to the
lim-itations of a single country study, we suggest that future
studies expand this German sample to an international
sample to generalize the results and to dissociate them
from country-specific confounding variables
Acknowledgements and Funding
This research project is funded by the German Federal Ministry of Education
and Research (BMBF) through a priority announcement, grant no.
01FG09008 The BMBF did neither participate in the design of the study nor
in the drafting of this manuscript.
Author details
1 Institute for Technology and Innovation Management, Technische
Universität Berlin, Strasse des 17 Juni 135, 10623 Berlin, Germany 2 German
Foundation for the chronically Ill, Fürth, Germany.
Authors ’ contributions
HH-W, MK, KB and CS conceived and developed the study HH-W and MK
drafted the study protocol and lead and coordinate the study under the
supervision of CS KB and CS helped to draft this study protocol HH-W, MK,
KB and CS developed the questionnaires and interview guidelines; HH-W,
MK and KB are responsible for the data collection CS prepared the ethical
approval document All authors read, and approved the final manuscript CS
is its guarantor.
Competing interests
The authors declare that they have no competing interests.
Received: 4 March 2011 Accepted: 21 April 2011 Published: 21 April 2011
References
1 Public Health European Commission [http://ec.europa.eu/health/ rare_diseases/policy/index_en.htm], Accessed January 12, 2011
2 van Knippenberg D, Schippers MC: Work Group Diversity Annual Review of Psychology 2006, 58:515-541.
3 Jackson SE, May KE, Whitney K: Understanding the dynamics of diversity
in decision-making teams In Team effectiveness and decision-making in organizations Edited by: Guzzo RA, Sala E San Francisco: Jossey-Bass Publishers; 1995:204-261.
4 William KY, O ’Reilly CA: Demography and diversity in organizations: A review of 40 years of research In Research in Organizational Behavior Edited by: Staw B, Sutton R Greenwich, CT: JAI Press; 1998:77-140.
5 Downey K, Slocum J: Uncertainty: Measurers, research and sources of variation Academy of Management Journal 1975, 18:562-572.
6 Schneck RE, Pennings JM: A strategic contingencies theory of intra-organisational power Administrative Science Quarterly 1971, 16:216-229.
7 Kogut B, Zander U: Knowledge of the firm, combinative capabilities, and the replication of technology Organization Science 1992, 3(Suppl 1):383-397.
8 Davenport TH, Prusak L: Working Knowledge: How Organizations Manage What They Know Cambridge, MA: Harvard Business School Press; 1998.
9 Grant R: Toward knowledge based theory of the firm Strategic Management Journal 1996, 27:109-122.
10 Wensing M, Wollersheim H, Grol R: Organizational interventions to implement improvements in patient care: a structured review of reviews Implementation Science 2006, 1:2.
11 Argote L: Organizational Learning Creating, Retaining and Transferring Knowledge Norwell, MA: Kluwer Academic Publishers; 1999.
12 Powell WW, Koput KW, Smith-Doerr L: Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology Administrative Science Quarterly 1996, 41(Suppl 1):116-145.
13 Tsai W: Knowledge transfer in intra-organizational networks: Effects of network position and absorptive capacity on business unit
innovation and performance Academy of Management Journal 2001, 44:996-1004.
14 Jansen J, Van Den Bosch F, Volberda H: Managing potential and realized absorptive capacity: How do organizational antecedents matter? Academy of Management Journal 2005, 48(Suppl 6):999-1016.
15 Bakker M, Leender R, Gabby SM, Kratzer J, van Engelen J: Is trust really social capital? Knowledge sharing in product development projects The Learning Organization 2006, 13(Suppl 6):594-605.
16 Granovetter M: The Strength of Weak Ties American Journal of Sociology
1973, 78(Suppl 6):1360-1380.
17 Van Wijk R, Jansen JJP, Lyles MA: Inter- and intra-organizational knowledge transfer: A meta-analytic review and assessment of its antecedents and consequences Journal of Management Studies 2008, 45:830-853.
18 Charles CAG, Whelan T: Shared decision-making in the medical encounter: What does it mean? (or it takes at least two to tango) Social Science & Medicine 1997, 44(Suppl 5):681-692.
19 Kriston L, Scholl I, Hölzel L, Simon D, Loh A, Härter M: The 9-item Shared Decision Making Questionnaire (SDM-Q-9) Development and psychometric properties in a primary care sample Patient Education and Counseling 2010, 80(Suppl 1):94-99.
20 Scott SG, Bruce RA: Determinants of innovative behavior: A path model
of individual innovation in the workplace Academy of Management Journal 1994, 37(Suppl 3):580-607.
21 Fleuren MK, Wiefferink , Paulussen T: Determinants of innovation within health care organizations International journal for quality in health care: journal of the International Society for Quality in Health Care 2004, 16(Suppl 2):107-123.
22 De Dreu CKW, West MA: Minority dissent and team innovation: The importance of participation in decision making Journal of Applied Psychology 2001, 86(Suppl 6):1191-1201.
23 May C, Allison G, Chapple A, Chew-Graham CA, Dixon C, Gask L, Graham R, Rogers A, Roland M: Framing the doctor-patient relationship in chronic illness: a comparative study of general practitioners ’ accounts Sociology
of Health and Illness 26(Suppl 2):135-158.
Trang 724 Oliver RL: A Cognitive Model of the Antecedents and Consequences of
Satisfaction Decisions Journal of Marketing Research 1980, 17(Suppl
4):460-470.
25 Liao H, Chuang A: A multilevel investigation of factors influencing
employee service performance and customer outcomes Academy of
Management Journal 2004, 47(Suppl 1):41-58.
26 Glaser BG, Strauss AL: The Discovery of Grounded Theory: Strategies for
Qualitative Research Chicago: Aldine Publishing Company; 1967.
27 McCracken G: The long interview Newbury Park, California: Sage; 1988.
28 Strauss AL, Corbin J: Grounded Theory Research: Procedures, Canons and
Evaluative Criteria Zeitschrift für Soziologie 1990, 19:418-427.
29 Zhou J, George JM: When job dissatisfaction leads to creativity:
encouraging the expression of voice Academy of Management Journal
2001, 44(Suppl 2):682-696.
30 Möller-Leimkühler AM, Dunkel R, Müller P, Pukies G, de Fazio S, Lehmann E:
Is patient satisfaction a unidimensional construct? - Factor analysis of
the Munich Patient Satisfaction Scale (MPSS-24) European Archives of
Psychiatry and Clinical Neuroscience 2002, 252(Suppl 1):19-23.
31 Webber SS, Donahue LM: Impact of highly and less job-related diversity
on work group cohesion and performance: a meta-analysis Journal of
Management 2001, 27:141-162.
32 Harrison DA, Klein KJ: What ’s the difference? Diversity constructs as
separation, variety, or disparity in organizations Academy of Management
Review 2007, 49:305-326.
33 Blau PM: Inequality and heterogeneity New York: Free Press; 1977.
34 Gladys ER, Tummers G, van Merode GG, Landeweerd JA: Organizational
Characteristics as Predictors of Nurses ’ Psychological Work Organization
Studies 2006, 27:559-584.
35 Mintzberg H: Structure in fives: Designing effective organizations Englewood
Cliffs, New Jersey: Prentice Hall; 1983.
36 Perrow C: Complex organizations: A critical essay Dallas, Texas: Scott,
Foresman & Cy; 1986.
doi:10.1186/1748-5908-6-40
Cite this article as: Hannemann-Weber et al.: Shared communication
processes within healthcare teams for rare diseases and their influence
on healthcare professionals’ innovative behavior and patient
satisfaction Implementation Science 2011 6:40.
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